Characteristics and outcomes of COVID-19 patients in New York City's public hospital system.

BACKGROUND: New York City (NYC) bore the greatest burden of COVID-19 in the United States early in the pandemic. In this case series, we describe characteristics and outcomes of racially and ethnically diverse patients tested for and hospitalized with COVID-19 in New York City's public hospital system. METHODS: We reviewed the electronic health records of all patients who received a SARS-CoV-2 test between March 5 and April 9, 2020, with follow up through April 16, 2020. The primary outcomes were a positive test, hospitalization, and death. Demographics and comorbidities were also assessed. RESULTS: 22254 patients were tested for SARS-CoV-2. 13442 (61%) were positive; among those, the median age was 52.7 years (interquartile range [IQR] 39.5-64.5), 7481 (56%) were male, 3518 (26%) were Black, and 4593 (34%) were Hispanic. Nearly half (4669, 46%) had at least one chronic disease (27% diabetes, 30% hypertension, and 21% cardiovascular disease). Of those testing positive, 6248 (46%) were hospitalized. The median age was 61.6 years (IQR 49.7-72.9); 3851 (62%) were male, 1950 (31%) were Black, and 2102 (34%) were Hispanic. More than half (3269, 53%) had at least one chronic disease (33% diabetes, 37% hypertension, 24% cardiovascular disease, 11% chronic kidney disease). 1724 (28%) hospitalized patients died. The median age was 71.0 years (IQR 60.0, 80.9); 1087 (63%) were male, 506 (29%) were Black, and 528 (31%) were Hispanic. Chronic diseases were common (35% diabetes, 37% hypertension, 28% cardiovascular disease, 15% chronic kidney disease). Male sex, older age, diabetes, cardiac history, and chronic kidney disease were significantly associated with testing positive, hospitalization, and death. Racial/ethnic disparities were observed across all outcomes. CONCLUSIONS AND RELEVANCE: This is the largest and most racially/ethnically diverse case series of patients tested and hospitalized for COVID-19 in New York City to date. Our findings highlight disparities in outcomes that can inform prevention and testing recommendations.

Predictors of Poor Outcomes for COVID-19-Associated Pneumonia in a Minority Population.

Background In December 2019, an unprecedented outbreak of pneumonia of unknown etiology emerged in Wuhan City, Hubei province in China. A novel coronavirus was identified as the causative agent and was subsequently termed COVID-19 by the World Health Organization (WHO). It rapidly became a pandemic, and it has been a significant challenge to healthcare providers to predict outcomes of the infected patients.  Objective  The aim of this study was to investigate the clinical characteristics of patients admitted for COVID-19 infection in an Inner-City Hospital in New York City, to assess the correlation between inflammatory markers and outcomes prediction in a high-risk population. Methods  We identified 235 patients who were admitted to our Hospital in NYC between March 19th and April 25th, 2020 with laboratory confirmed COVID-19 diagnosis with associated pneumonia and who also had documented inflammatory markers (D-dimer, C-reactive protein, lactate dehydrogenase, ferritin, procalcitonin) during their hospital stay.  Results  The study population was predominantly non-Hispanic black. There was no statistically significant difference between survivors and non-survivors by race and/or ethnicity (P = 0.69). Thirty-five percent of the patient population had died by the end of this study and those that died had a higher mean age compared to survivors (69.5 ± 13.6 vs 63.8 ± 15.2, P = 0.004). There is a significant difference in the D-dimer levels in patients who survivedwhen compared to those who died (P = 0.002). A higher proportion of patients that died were admitted to the ICU, (23.7% vs 55.4%, P < 0.0001) and/or intubated (18.4% vs 51.8%, P < 0.0001). Conclusion Our study demonstrated that patients who died had a significantly higher D-dimer (>3,000) when compared with survivors. Higher mean age was associated with increased mortality and admission to ICU and/or intubation.